一种直接的办法就是加上decoder做预测生成,这就形成了encoder-decoder架构,如下所示 Classic Transformer Block decoder第一个MHA变成masked-MHA,使用的是前文casual的attention mask的方式,这样每个当前输出token只能看到过去生成的token decoder新增第二个MHA,并且K和V来自于encoder的输出,这样就实现了看到原始输入的全文...
Encoder-Decoder是通用的计算框架,Encoder, Decoder具体用什么模型,都可以自己选择。 (因此这可以是创新点) 图1: Encoder-Decoder架构图 经典Decoder形式及其问题 其中经典的Decoder有两种形式,对应两篇论文: [论文1]:Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger...
The goal of the blog post is to give anin-detailexplanation ofhowthe transformer-based encoder-decoder architecture modelssequence-to-sequenceproblems. We will focus on the mathematical model defined by the architecture and how the model can be used in inference. Along the way, we will give so...
Seq2Seq模型有时可以包含自编码和自回归模型。Seq2Seq模型的decoder通常是自回归的,它根据之前的所有token,一次生成一个token的输出序列。 Seq2Seq的encoder部分可以看作类似自编码器,因为它将输入压缩成密集表示,但是与自编码器LM不同的是,seq2seq的encoder目标不是重建输入,而是为生成的输出序列(通常是不同domain...
技术标签:NLP seq2seq model: encoder-decoder 1.1. its probablistic model 1.2. RNN encoder-decoder model architecture context vector c = encoder’s final state i.e. fixed global representation of the input sequ... 查看原文 encoder-decoder框架和普通框架的区别在哪里?
Thetransformer-basedencoder-decoder model was introduced by Vaswani et al. in the famousAttention is all you need paperand is today thede-factostandard encoder-decoder architecture in natural language processing (NLP). Recently, there has been a lot of research on differentpre-trainingobjectiv...
Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism. nlpnatural-language-processingpytorchlstmnltkrnnseq2seqneural-machine-translationatte...
Encoder-decoder models are a type of neural network architecture that is used in a variety of natural language processing (NLP) tasks, such as machine translation, text summarization, and question-answering. They are also known as sequence-to-sequence models. ...
The MAE decoder is only used during pre-training to perform the image reconstruction task (only the encoder is used to produce image representations for recognition). Therefore, the decoder architecture can be flexibly designed in a manner that is independent of the encoder design. We experiment...
encoder-decoder一般在encoder部分采用双向语言模型在decoder部分采用单向LM，而decoder-only一般采用单向LM。